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The World's Largest Open-Source
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AI Architecture Claude 3.7 Sonnet
Category Coding Agents
Best Use Case Commercial & Cinematic
Coding Agents AI Agent System Prompt

The World's Largest Open-Source

Two years ago, it was a simple GitHub list called "Awesome ChatGPT Prompts". Today, it has become the world's largest open-source is not jus...

Quick Answer (Voice / AI Overview) Here is the verified The World's Largest Open-Source prompt for Claude 3.7 Sonnet under the Coding Agents category. You can copy the full JSON blueprint on JsonPrompts.in for free.
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Two years ago, it was a simple GitHub list called "Awesome ChatGPT Prompts". Today, it has become the world's largest open-source is not just another GitHub repository with a static list of prompts. It is a fully-fledged ** web application** that allows you to browse, discover, share, and collect prompts. And the best part: You can **self-host** the entire platform – with complete data sovereignty. ## What is ? The project was started by Fatih Kadir Akın and has evolved from a simple awesome list into one of the most influential The range of prompts is enormous – from "Act as a Linux Terminal" to "Act as a Career Counselor" to specialized developer prompts. The community has submitted thousands of prompts, sorted by category and searchable. ## Why 167,000 Stars? **1. Quality over Quantity** Every **2. Works with every LLM** Unlike many specialized collections (that work only for Claude or only for GPT), the prompts from are compatible with **ChatGPT, Claude, Gemini, Llama, Mistral, and all common models**. This makes them universally usable. **3. From Harvard to Forbes** The academic and media recognition is exceptional: Harvard University and Columbia University reference the collection in their guides, Forbes has called it an indispensable resource. This builds trust and visibility. **4. MCP Server for Coding Agents** offers an **MCP server (Model Context Protocol)** that can be directly integrated into coding agents. In 2026, this is the decisive factor: coding agents can retrieve prompts at runtime instead of storing them locally. ## The Technical Platform The repository contains more than just prompts – it is a complete web application: | Component | Technology | |---|---| | **Frontend** | (React, TypeScript) | | **Database** | Prisma + PostgreSQL | | **Search** | Full-text search across all prompts | | **MCP Server** | Model Context Protocol API | | **Deployment** | Docker (Self-Hosting), Vercel | | **Export** | , | The MCP server is particularly exciting: You can integ

Structured JSON Schema

Use with automated API pipelines, LangChain, or custom image generators

{
    "prompt": "Two years ago, it was a simple GitHub list called \"Awesome ChatGPT Prompts\". Today, it has become the world's largest open-source is not just another GitHub repository with a static list of prompts. It is a fully-fledged ** web application** that allows you to browse, discover, share, and collect prompts. And the best part: You can **self-host** the entire platform – with complete data sovereignty. ## What is ? The project was started by Fatih Kadir Akın and has evolved from a simple awesome list into one of the most influential The range of prompts is enormous – from \"Act as a Linux Terminal\" to \"Act as a Career Counselor\" to specialized developer prompts. The community has submitted thousands of prompts, sorted by category and searchable. ## Why 167,000 Stars? **1. Quality over Quantity** Every **2. Works with every LLM** Unlike many specialized collections (that work only for Claude or only for GPT), the prompts from are compatible with **ChatGPT, Claude, Gemini, Llama, Mistral, and all common models**. This makes them universally usable. **3. From Harvard to Forbes** The academic and media recognition is exceptional: Harvard University and Columbia University reference the collection in their guides, Forbes has called it an indispensable resource. This builds trust and visibility. **4. MCP Server for Coding Agents** offers an **MCP server (Model Context Protocol)** that can be directly integrated into coding agents. In 2026, this is the decisive factor: coding agents can retrieve prompts at runtime instead of storing them locally. ## The Technical Platform The repository contains more than just prompts – it is a complete web application: | Component | Technology | |---|---| | **Frontend** | (React, TypeScript) | | **Database** | Prisma + PostgreSQL | | **Search** | Full-text search across all prompts | | **MCP Server** | Model Context Protocol API | | **Deployment** | Docker (Self-Hosting), Vercel | | **Export** | , | The MCP server is particularly exciting: You can integ",
    "model": "Claude 3.7 Sonnet",
    "aspect_ratio": "1:1",
    "category": "Coding Agents",
    "content_type": "coding_prompt",
    "surface": "agents_hub",
    "quality_score": 81,
    "provenance": "COMMUNITY_PROMPT"
}

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